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Two Simple and Efficient Algorithms to Compute the SP-Score Objective Function of a Multiple Sequence Alignment
BACKGROUND: Multiple sequence alignment (MSA) is a crucial step in many molecular analyses and many MSA tools have been developed. Most of them use a greedy approach to construct a first alignment that is then refined by optimizing the sum of pair score (SP-score). The SP-score estimation is thus a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978502/ https://www.ncbi.nlm.nih.gov/pubmed/27505054 http://dx.doi.org/10.1371/journal.pone.0160043 |
Sumario: | BACKGROUND: Multiple sequence alignment (MSA) is a crucial step in many molecular analyses and many MSA tools have been developed. Most of them use a greedy approach to construct a first alignment that is then refined by optimizing the sum of pair score (SP-score). The SP-score estimation is thus a bottleneck for most MSA tools since it is repeatedly required and is time consuming. RESULTS: Given an alignment of n sequences and L sites, I introduce here optimized solutions reaching O(nL) time complexity for affine gap cost, instead of O(n(2)L), which are easy to implement. |
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